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All Journal Journal on Education Jurnal Ilmiah Manajemen Kesatuan RESEARCH AND DEVELOPMENT JOURNAL OF EDUCATION (RDJE) West Science Interdisciplinary Studies Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Ipso Jure Aksioma Education Journal Journal of Computer Science Advancements
Apriyanto Apriyanto
Politeknik Tunas Pemuda
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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THE CORRELATION BETWEEN GADGET USE AND STUDENT LEARNING ACHIEVEMENT AT SMAN 21 BEKASI CITY Apriyanto Apriyanto; Iswadi Iswadi
Research and Development Journal of Education Vol 9, No 2 (2023)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/rdje.v9i2.20233

Abstract

The goal of the study is to examine the relationship between gadget use and learning achievement. Quantitative methods are used by researchers. The research population was 276 students. The sample consisted of 73 students taken through random sampling. The researchers use questionnaires. To analyze the data, the researchers use using simple correlation and t test with SPPS Program. The finding: (1) There is a significant correlation between the use of gadgets and academic achievement of class XI students at SMAN 21 Bekasi City. The implication is that students can use gadgets in the learning process in the classroom because using gadgets can develop students' learning independence in solving questions from the teacher. Students who use gadgets in learning will get various kinds of learning resources from the Internet so that students will be more creative and innovative in the learning process.
The Role of Talent Development in Organizational Change: A Bibliometric Analysis of Global Corporate Trends Loso Judijanto; Apriyanto Apriyanto; Siti Maria; Purwinahyu Purwinahyu; Rohana Nur Aini
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1350

Abstract

The evolution and key themes in the field of talent management research from 2000 to 2024 are highlighted in this study's thorough bibliometric analysis and thematic overview. Effective human resource strategies inside organizations are determined to be based on the fundamental elements of talent management, which include leadership, training and development, and organizational performance. It is acknowledged that the incorporation of technology innovations, including big data, machine learning, and digital transformation, has a revolutionary impact on talent management procedures by permitting more predictive and data-driven methods. In addition to discussing the implications of diversity and inclusion in cultivating a creative and flexible workforce, this study examines the strategic significance of matching organizational objectives with talent management in order to improve competitive advantage. The study also discusses the potential and problems associated with technology integration in human resources, stressing the importance of ethical concerns and upholding a human-centered approach in the face of technological breakthroughs.
The Effectiveness of Consumer Protection Law in Overcoming Misleading Marketing in the Food and Beverage Industry Bobby Ferly; Apriyanto Apriyanto; Rizky Wisudawan Katjong
Ipso Jure Vol. 1 No. 8 (2024): Ipso Jure - September
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/9tsbar63

Abstract

Evaluate the effectiveness of consumer protection law in addressing misleading marketing in the food and beverage industry, which often involves inaccurate product information. On the other hand, misleading marketing not only harms consumers economically, but can also have a serious impact on public health. Therefore, the active role of consumers in verifying product information is becoming increasingly important amidst the rise of misleading claims in the food and beverage sector. This research uses a normative juridical method with a statutory and conceptual approach to analyze Law No. 8/1999 on Consumer Protection. This method allows researchers to evaluate existing regulations and understand the concept of consumer protection in the context of misleading marketing. The results show that although regulations are in place, stricter implementation and enforcement are needed to protect consumers from health risks and economic losses due to misleading product information. The research suggests increased supervision by authorities, such as BPOM, as well as better collaboration between the government, businesses, and consumers to create a fairer and more transparent trading environment in the food and beverage sector.
Implementation of the Realistic Mathematics Education (RME) Approach in Geometry Learning in Secondary Schools Nur Hakim; Apriyanto Apriyanto; Mardiati Mardiati; Ediaman Sitepu
Aksioma Education Journal Vol. 1 No. 3 (2024): September-AEJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/rgn3w339

Abstract

This study aims to analyze the implementation of the Realistic Mathematics Education (RME) approach in geometry learning in secondary schools. Realistic Mathematics Education, which emphasizes mathematics learning through relevant contexts and students' real experiences, aims to improve students' understanding and skills in geometry. This study evaluates the effectiveness of the implementation of RME and identifies various challenges and potential solutions in its implementation. The method used is a literature review that includes studies related to the implementation of RME in geometry learning. The results of the analysis show that RME can improve students' understanding of geometric concepts by linking materials to everyday situations, thereby motivating and involving students more actively in the learning process. This approach helps students link theory to real practice, deepen their understanding, and develop problem-solving skills. There are challenges such as teacher readiness, limited resources, and limited time allocation, recommendations to improve teacher training, develop supportive policies, and provide adequate resources can help overcome these problems. With the right strategy and adequate support, RME has great potential to improve the quality of geometry learning in secondary schools and have a positive impact on student learning outcomes
Pendidikan Berbasis Komunitas untuk Lansia di Era Digital: Pendekatan Psikologi Positif Camelia Bakker; Apriyanto Apriyanto; Rahman Tanjung; Syamsul Anwar; Andro Ruben Runtu
Journal on Education Vol 7 No 1 (2024): Journal on Education: Volume 7 Nomor 1 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i1.7357

Abstract

This study highlights the challenges faced by the elderly in the digital era, particularly regarding feelings of marginalization and difficulties in accessing technology. Community-based education that integrates positive psychology approaches can be an effective solution to improve the mental well-being and digital skills of the elderly. A qualitative case study method was employed, involving in-depth interviews, focus group discussions, and participatory observations to explore the experiences and perspectives of the elderly participating in this educational program. The findings show improvements in digital skills, self-confidence, emotional well-being, and social connections among the elderly. Participants felt more connected and supported, which positively impacted their mental health. The study recommends active participation of the elderly in program design and the integration of positive psychology elements to ensure the sustainability of such programs in the future.
Adaptive Strategy-Based Digital Entrepreneurship and Capability Analysis for MSME E-Business Performance Apriyanto Apriyanto; Titik Haryanto; Saefudin Zuhdi; Narrong Hassanee
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 2 (2025): JIMKES Edisi Maret 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i2.2924

Abstract

The advancement of digital technologies has reshaped competitive structures within small and medium enterprises (SMEs), particularly in Indonesia. Although digital adoption among MSMEs in West Java is high, its application remains largely operational and not fully aligned with strategic managerial practices. This study aims to analyse the influence of Digital Entrepreneurial Orientation (DEO) and Digital Capability (DC) on E-Business Performance (EBP), with Adaptive Strategy (AS) as a mediating variable, to identify key determinants of digital competitiveness among MSMEs. A sequential explanatory mixed-methods approach was employed, beginning with a quantitative phase using Partial Least Squares Structural Equation Modelling (PLS-SEM) on 275 digitally active MSMEs. This was followed by a qualitative phase consisting of in-depth interviews with 12 key informants. The findings reveal that DEO and DC significantly affect EBP, both directly and indirectly through AS. Adaptive Strategy emerges as a pivotal behavioural mechanism that translates digital orientation and capability into improved performance outcomes. Qualitative insights further confirm that digitally successful MSMEs apply iterative learning, analytics-based interpretation, and real-time strategic adjustments in response to algorithmic shifts and market dynamics. The study concludes that digital success is not merely driven by technology adoption but by continuous strategic adaptation. Policy implications suggest the need to strengthen managerial digital competencies and address the urban–rural digital capability gap.
Entrepreneurial Leadership, Human Capital, Knowledge Sharing, and Motivation on Innovation Performance and Competitive Advantage in Startups Apriyanto Apriyanto; Tekni Megaster
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 8 No. 2 (2026): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v8i2.10851

Abstract

This study examines the influence of entrepreneurial leadership, human capital, knowledge sharing, and motivation on innovation performance and competitive advantage among startups in Indonesia. Using a quantitative approach, data were collected from 200 startup respondents across various industries through a Likert-scale questionnaire. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to evaluate both direct and indirect relationships. The results demonstrate that entrepreneurial leadership, human capital, knowledge sharing, and motivation each have a positive and significant effect on innovation performance. Furthermore, innovation performance significantly enhances competitive advantage and mediates the effects of the four independent variables on competitiveness. The findings highlight innovation performance as a strategic link that transforms internal organizational capabilities and employee behaviors into sustainable market advantages. The model exhibits strong explanatory power (R² = 0.671 for innovation performance and R² = 0.713 for competitive advantage), indicating high predictive relevance and good model fit. This research contributes theoretically by reinforcing the resource-based and knowledge-based views (RBV and KBV) of organizational competitiveness, and practically by providing strategic insights for Indonesian startups to strengthen their innovation-driven growth and sustainability
Implementation of Augmented Reality Technology in History Learning: Experimental Study Apriyanto Apriyanto; Kailie Maharjan; Zhang Wei
Journal of Computer Science Advancements Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i4.1321

Abstract

The integration of technology into education continues to evolve, with augmented reality (AR) emerging as a promising tool in enhancing learning experiences. In the context of history education, traditional methods often struggle to engage students and provide immersive experiences. This study investigates the implementation of augmented reality technology in history learning to assess its impact on student engagement and understanding. The research aims to determine whether AR can effectively improve students' comprehension of historical events and concepts compared to conventional teaching methods. A mixed-methods experimental design was employed, involving a sample of high school students who were divided into an experimental group using AR technology and a control group following traditional teaching methods. Data were collected through pre- and post-intervention assessments, surveys, and interviews. The analysis focused on comparing learning outcomes and engagement levels between the two groups. Results indicated that the experimental group demonstrated significantly higher scores on post-intervention assessments and reported greater engagement and interest in the subject matter compared to the control group. These findings suggest that AR technology can enhance students' understanding of historical content by providing interactive and immersive learning experiences. The study concludes that incorporating AR technology into history education can significantly improve student learning outcomes and engagement. The use of AR provides a novel approach to teaching history, offering immersive experiences that can complement traditional methods. Future research should explore the long-term effects of AR on learning and its applicability across various educational contexts.
Implementation of Deep Learning in a Voice Recognition System for Virtual Assistants Apriyanto Apriyanto; Rohmat Sahirin; Snyder Bradford
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1533

Abstract

Voice recognition technology has become a vital component in virtual assistants, enabling more natural and efficient user interactions. However, traditional voice recognition systems face challenges in accurately interpreting diverse accents, dialects, and background noise, which can limit their usability. This study investigates the implementation of deep learning techniques to improve the accuracy and adaptability of voice recognition systems within virtual assistant applications. The research aims to enhance voice recognition performance by leveraging deep learning models that can process complex speech patterns and adapt to varied linguistic nuances. A convolutional neural network (CNN) architecture combined with recurrent neural networks (RNN) was used to train the voice recognition model on a large, diverse dataset of audio samples. The dataset included multiple languages, accents, and noisy environments to test the robustness of the model. Results indicate a 25% improvement in word error rate (WER) and a significant increase in recognition accuracy across diverse voice inputs compared to traditional voice recognition systems. The model demonstrated high adaptability, accurately interpreting speech in varying acoustic conditions, thus improving user experience with virtual assistants. These findings suggest that deep learning can significantly enhance voice recognition systems, offering more reliable performance in real-world applications. Implementing deep learning models in voice recognition systems can bridge the gap between human and machine communication, making virtual assistants more accessible and user-friendly.
Co-Authors Andro Ruben Runtu Bobby Ferly Camelia Bakker Ediaman Sitepu Iswadi Iswadi Kailie Maharjan Loso Judijanto Mardiati Mardiati Narrong Hassanee Nur Hakim Purwinahyu Purwinahyu Rahman Tanjung Rizky Wisudawan Katjong Rohmat Sahirin Saefudin Zuhdi Siti Maria Snyder Bradford Syamsul Anwar Tekni Megaster Titik Haryanto Wiwik Handayani Zhang Wei